Cognitive Hyperconnected Digital Transformation: Internet of Things Intelligence EvolutionOvidiu Vermesan, Joël Bacquet Cognitive Hyperconnected Digital Transformation provides an overview of the current Internet of Things (IoT) landscape, ranging from research, innovation and development priorities to enabling technologies in a global context. It is intended as a standalone book in a series that covers the Internet of Things activities of the IERC-Internet of Things European Research Cluster, including both research and technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI) and the IoT European Large-Scale Pilots Programme, presenting global views and state-of-the-art results regarding the challenges facing IoT research, innovation, development and deployment in the next years. Hyperconnected environments integrating industrial/business/consumer IoT technologies and applications require new IoT open systems architectures integrated with network architecture (a knowledge-centric network for IoT), IoT system design and open, horizontal and interoperable platforms managing things that are digital, automated and connected and that function in real-time with remote access and control based on Internet-enabled tools. The IoT is bridging the physical world with the virtual world by combining augmented reality (AR), virtual reality (VR), machine learning and artificial intelligence (AI) to support the physical-digital integrations in the Internet of mobile things based on sensors/actuators, communication, analytics technologies, cyber-physical systems, software, cognitive systems and IoT platforms with multiple functionalities. These IoT systems have the potential to understand, learn, predict, adapt and operate autonomously. They can change future behaviour, while the combination of extensive parallel processing power, advanced algorithms and data sets feed the cognitive algorithms that allow the IoT systems to develop new services and propose new solutions. IoT technologies are moving into the industrial space and enhancing traditional industrial platforms with solutions that break free of device-, operating system- and protocol-dependency. Secure edge computing solutions replace local networks, web services replace software, and devices with networked programmable logic controllers (NPLCs) based on Internet protocols replace devices that use proprietary protocols. Information captured by edge devices on the factory floor is secure and accessible from any location in real time, opening the communication gateway both vertically (connecting machines across the factory and enabling the instant availability of data to stakeholders within operational silos) and horizontally (with one framework for the entire supply chain, across departments, business units, global factory locations and other markets). End-to-end security and privacy solutions in IoT space require agile, context-aware and scalable components with mechanisms that are both fluid and adaptive. The convergence of IT (information technology) and OT (operational technology) makes security and privacy by default a new important element where security is addressed at the architecture level, across applications and domains, using multi-layered distributed security measures. Blockchain is transforming industry operating models by adding trust to untrusted environments, providing distributed security mechanisms and transparent access to the information in the chain. Digital technology platforms are evolving, with IoT platforms integrating complex info |
Contents
1 | |
7 | |
Chapter 3 Internet of Things Cognitive Transformation Technology Research Trends and Applications | 17 |
Chapter 4 Internet of Robotic Things Converging SensingActuating Hyperconnectivity Artificial Intelligence and IoT Platforms | 97 |
Chapter 5 STARTS Why Not Using the Arts for Better Stimulating Internet of Things Innovation | 157 |
Chapter 6 IoT Standards Landscape State of the Art Analysis and Evolution | 167 |
Other editions - View all
Common terms and phrases
ACTIVAGE activities actuation AIOTI approach areas ARMOUR artificial intelligence augmented reality autonomous AUTOPILOT business models challenges cloud codes collaboration communication components concept connected consumer context create data protection defined deployment distributed domains dynamic edge computing edge devices enable end-user engagement energy environment European Commission European Large-Scale Pilots Figure framework gateway global heterogeneous identified impact implementation industry infrastructure innovation integration interact interfaces Internet of Things interoperability IoRT IoT applications IoT devices IoT ecosystem IoT platforms IoT solutions IoT systems IoT technologies layer LSPs machine learning methodology mobile monitoring nodes operation protocols QR code requirements robotic things sectors security and privacy security certification Security Testing sensors smart city smart contracts smart environments smartphone SmartTags specific stakeholders standards TagItSmart test patterns thermochromic trust U4IoT users value chain vehicles wearable Wi-Fi